Miller RD, Eriksson LI, Fleisher LA, et al. Miller’s anesthesia. Philadelphia: Elsevier; 2014. p. 1684–720.
Hermanides J, Hollmann MW, Stevens MF, et al. Failed epidural: causes and management. Br J Anaesth. 2012;109:144–54.
Article CAS PubMed Google Scholar
Auyong DB, Hostetter L, Yuan SC, et al. Evaluation of ultrasound-assisted thoracic epidural placement in patients undergoing upper abdominal and thoracic surgery: a randomized, double-blind study. Reg Anesth Pain Med. 2017;42:204–9.
Kim DH, Lee JH, Sim JH, et al. Real-time ultrasound-guided low thoracic epidural catheter placement: technical consideration and fluoroscopic evaluation. Reg Anesth Pain Med. 2021;46:512–7.
Finucane B. Complications of regional anesthesia. New York: Springer; 2009. p. 441.
Yamauchi M. Ultrasound-guided neuraxial block. Trends Anaesth Crit Care. 2012;2:234–43.
Pak DJ, Gulati A. Real-time ultrasound-assisted thoracic epidural placement: a feasibility study of a novel technique. Reg Anesth Pain Med. 2018;43:613–5.
Pakpirom J, Thatsanapornsathit K, Kovitwanawong N, et al. Real-time ultrasound-guided versus anatomic landmark-based thoracic epidural placement: a prospective, randomized, superiority trial. BMC Anesthesiol. 2022;22:198.
Article PubMed PubMed Central Google Scholar
Huang Y, Li T, Wang T, et al. Real time ultrasound-guided thoracic epidural catheterization with patients in the lateral decubitus position without flexion of knees and neck: a preliminary investigation. J Clin Med. 2022;11:6459.
Article PubMed PubMed Central Google Scholar
Kunigo T, Yoshikawa Y, Niki S, et al. Ultrasound-assisted middle thoracic epidural catheter placement utilizing the most dorsal sites of bilateral transverse process roots as anatomical landmarks: a cadaveric observational study and a clinical randomized controlled trial. J Clin Anesth. 2025;101:111740.
Pesteie M, Lessowav V, Abolmaesumi P, et al. Automatic localization of the needle target for ultrasound-guided epidural injections. IEEE Trans Biomed Eng. 2018;37:81–92.
Oh TT, Ikhsan M, Tan KK, et al. A novel approach to neuraxial anesthesia: application of an automated ultrasound spinal landmark identification. BMC Anesthesiol. 2019;19:57.
Article PubMed PubMed Central Google Scholar
Quader N, Hodgson A, Abugharbieh R. Confidence weighted local phase features for robust bone surface segmentation in ultrasound. Conference Proceedings. Clinical image-based procedures. Translational research in medical imaging. Cham: Springer; 2014. p. 76–83.
Grau T, Leipold RW, Delorme S, et al. Ultrasound imaging of the thoracic epidural space. Reg Anesth Pain Med. 2002;27:200–6.
Article CAS PubMed Google Scholar
Tiouririne M, Dixon AJ, Mauldin FW Jr, et al. Imaging performance of a handheld ultrasound system with real-time computer-aided detection of lumbar spine anatomy: a feasibility study. Invest Radiol. 2017;52:447–55.
Article PubMed PubMed Central Google Scholar
Rafii-Tari H, Lessoway VA, Kamani AA, et al. Panorama ultrasound for navigation and guidance of epidural anesthesia. Ultrasound Med Biol. 2015;41:2220–31.
Gnaho A, Nau A, Gentil ME. Real-time ultrasound-guided epidural catheter insertion in obese parturients. Can J Anaesth. 2015;62:1226–7.
Zhuang B, Rohling R, Abolmaesumi P. Region-of-interest-based closed-loop beamforming for spinal ultrasound imaging. IEEE Trans Ultrason Ferroelectr Freq Control. 2019;66:1266–80.
Zhuang B, Rohling R, Abolmaesumi P. Accumulated angle factor-based beamforming to improve the visualization of spinal structures in ultrasound images. IEEE Trans Ultrason Ferroelectr Freq Control. 2018;65:210–22.
Jiang B, Xu K, Moghekar A, et al. Insonification angle-based ultrasound volume reconstruction for spine intervention. Proc IEEE Int Ultrason Symp. 2022. https://doi.org/10.1109/IUS54386.2022.9957297.
Xu K, Jiang B, Moghekar A, et al. AutoInFocus a new paradigm for ultrasound-guided spine intervention: a multi-platform validation study. Int J Comput Assist Radiol Surg. 2022;17:911–20.
Li R, Davoodi A, Cai Y, et al. Robot-assisted ultrasound reconstruction for spine surgery: From bench-top to pre-clinical study. Int J Comput Assist Radiol Surg. 2023;18:1613–23.
Nagaoka R, Wilhjelm JE, Hasegawa H. Preliminary study on the separation of specular reflection and backscattering components using synthetic aperture beamforming. J Med Ultrasonics. 2020;47:493–500.
Nagata K, Nagaoka R, Wilhjelm JE, et al. Study on estimation of surface roughness by separation of reflection and backscattering components using ultrasonic synthetic aperture imaging. Jpn J Appl Phys. 2021;60:SDDE09.
Tochigi K, Nagaoka R, Wilhjelm JE, et al. Enhancement of reflection and backscattering components by plane wave imaging for estimation of surface roughness. Jpn J Appl Phys. 2022;61:SG1025.
Takahashi K, Taki H, Onishi E, et al. Imaging of human vertebral surface using ultrasound RF data received at each element of probe for thoracic anesthesia. Jpn J Appl Phys. 2017;56:07JF01.
Yokoyama T, Mori S, Arakawa M, et al. Discrimination of thoracic spine from muscle based on their difference in ultrasound reflection and scattering characteristics. J Med Ultrasonics. 2020;47:3–11.
Hashimoto T, Mori S, Arakawa M, et al. A study on differentiation of depiction between scatterer and reflector to assist epidural anesthesia by ultrasound. Jpn J Appl Phys. 2021;60:SDDE15.
Bando T, Mori S, Arakawa M, et al. Transmission conditions for clear depiction of thoracic spine based on difference between reflection and scattering characteristics of medical ultrasound. Jpn J Appl Phys. 2022;61:SG1068.
Soejima Y, Onishi E, Yamauchi M, et al. Study of focused wave transmission conditions in thoracic spine imaging using steering-transmitted ultrasound. 2024 Tohoku-Section Joint Convention of Institutes of Electrical and Information Engineers. 2024;2F06–10–05.
Comments (0)